Analyze Text with Tisane Labs API on New Order Event (Instant) from WooCommerce API

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New Order Event (Instant) from the WooCommerce API

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Analyze Text with the Tisane Labs API

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Getting Started#

This integration creates a workflow with a WooCommerce trigger and Tisane Labs action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Order Event (Instant) trigger
1. Connect your WooCommerce account
2. Select one or more Event topics
Configure the Analyze Text action
1. Connect your Tisane Labs account
2. Select a Language
3. Configure Content
4. Optional- Select a Format
5. Optional- Configure Disable Spellcheck
6. Optional- Configure Lowercase Spellcheck Only
7. Optional- Configure Minimum Generic Frequency
8. Optional- Configure Subscope
9. Optional- Configure Abuse
10. Optional- Configure Sentiment
11. Optional- Configure Document Sentiment
12. Optional- Configure Entities
13. Optional- Configure Topics
14. Optional- Configure Words
15. Optional- Configure Fetch Definitions
16. Optional- Configure Parse
17. Optional- Configure Deterministic
18. Optional- Configure Snippets
19. Optional- Configure Explain
20. Optional- Select a Feature Standard
21. Optional- Select a Topic Standard
22. Optional- Select a Sentiment Analysis Type
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Order Event (Instant) on WooCommerce

Description:Emit new event each time the specified order event(s) occur

Version:0.0.4

Key:woocommerce-new-order-event

View on GitHub

WooCommerce Overview#

WooCommerce is a customizable, open-source eCommerce platform built on WordPress. With the WooCommerce API, you can tap into the heart of your eCommerce store to read, create, update, and delete products, orders, and customers. On Pipedream, you can harness this API to automate routine tasks, sync data across platforms, and enhance customer experiences. By connecting WooCommerce to a wide array of apps and services, you can streamline operations, trigger personalized marketing, and analyze your sales data with greater ease.

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "woocommerce-new-order-event",
  name: "New Order Event (Instant)",
  description: "Emit new event each time the specified order event(s) occur",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    async getSampleEvents({ perPage }) {
      return this.woocommerce.listOrders({
        per_page: perPage,
        orderby: "date",
      });
    },
    getTopic(topicType) {
      return `order.${topicType}`;
    },
    generateMeta(eventType, {
      id, date_modified: dateModified,
    }) {
      const ts = Date.parse(dateModified);
      return {
        id: `${id}${ts}`,
        summary: `Order ID: ${id} ${eventType}`,
        ts,
      };
    },
  },
  sampleEmit,
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
WooCommerce	`woocommerce`	`app`	This component uses the WooCommerce app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Event topics	`topics`	`string[]`	Select a value from the drop down menu:`createdupdateddeleted`

Trigger Authentication#

WooCommerce uses API keys for authentication. When you connect your WooCommerce account, Pipedream securely stores the keys so you can easily authenticate to WooCommerce APIs in both code and no-code steps.

Find your API key at WooCommerce > Settings > Advanced > REST API. See the WooCommerce docs for more info. Enter the Key and Secret below.

About WooCommerce#

WooCommerce is the open-source ecommerce platform for WordPress.

Action#

Analyze Text on Tisane Labs

Description:Analyze text for language, entities, sentiment, and other insights. [See the documentation](https://docs.tisane.ai/#561264c5-6dbe-4bde-aba3-7defe837989f)

Version:0.0.1

Key:tisane_labs-analyze-text

View on GitHub

Tisane Labs Overview#

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Action Code#

import tisaneLabs from "../../tisane_labs.app.mjs";

export default {
  key: "tisane_labs-analyze-text",
  name: "Analyze Text",
  description: "Analyze text for language, entities, sentiment, and other insights. [See the documentation](https://docs.tisane.ai/#561264c5-6dbe-4bde-aba3-7defe837989f)",
  version: "0.0.1",
  type: "action",
  props: {
    tisaneLabs,
    language: {
      propDefinition: [
        tisaneLabs,
        "language",
      ],
    },
    content: {
      type: "string",
      label: "Content",
      description: "The content to analyze",
    },
    format: {
      propDefinition: [
        tisaneLabs,
        "format",
      ],
    },
    disableSpellcheck: {
      type: "boolean",
      label: "Disable Spellcheck",
      description: "Determines whether the automatic spellchecking is to be disabled. Default: `false`",
      default: false,
      optional: true,
    },
    lowercaseSpellcheckOnly: {
      type: "boolean",
      label: "Lowercase Spellcheck Only",
      description: "Determines whether the automatic spellchecking is only to be applied to words in lowercase. Default: `false`",
      default: false,
      optional: true,
    },
    minGenericFrequency: {
      type: "integer",
      label: "Minimum Generic Frequency",
      description: "Allows excluding more esoteric terms; The valid values are 0 thru 10.",
      min: 0,
      max: 10,
      optional: true,
    },
    subscope: {
      type: "boolean",
      label: "Subscope",
      description: "Enables sub-scope parsing, for scenarios like hashtag, URL parsing, and obfuscated content (e.g. ihateyou). Default: `false`",
      default: false,
      optional: true,
    },
    abuse: {
      type: "boolean",
      label: "Abuse",
      description: "Output instances of abusive conten. Default: `true`",
      default: true,
      optional: true,
    },
    sentiment: {
      type: "boolean",
      label: "Sentiment",
      description: "Output sentiment-bearing snippets. Default: `true`",
      default: true,
      optional: true,
    },
    documentSentiment: {
      type: "boolean",
      label: "Document Sentiment",
      description: "output document-level sentiment. Default: `false`",
      default: false,
      optional: true,
    },
    entities: {
      type: "boolean",
      label: "Entities",
      description: "Output entities. Default: `true`",
      default: true,
      optional: true,
    },
    topics: {
      type: "boolean",
      label: "Topics",
      description: "Output topics. Default: `true`",
      default: true,
      optional: true,
    },
    words: {
      type: "boolean",
      label: "Words",
      description: "Output the lexical chunks / words for every sentence. Default: `false`",
      default: false,
      optional: true,
    },
    fetchDefinitions: {
      type: "boolean",
      label: "Fetch Definitions",
      description: "Include definitions of the words in the output. Only relevant when the `words` setting is `true`. Default: `false",
      default: false,
      optional: true,
    },
    parses: {
      type: "boolean",
      label: "Parse",
      description: "Output parse forests of phrases",
      optional: true,
    },
    deterministic: {
      type: "boolean",
      label: "Deterministic",
      description: "Whether the n-best senses and n-best parses are to be output in addition to the detected sense. If `true`, only the detected sense will be output. Default: `true`",
      default: true,
      optional: true,
    },
    snippets: {
      type: "boolean",
      label: "Snippets",
      description: "Include the text snippets in the abuse, sentiment, and entities sections. Default: `false`",
      default: false,
      optional: true,
    },
    explain: {
      type: "boolean",
      label: "Explain",
      description: "If `true`, a reasoning for the abuse and sentiment snippets is provided when possible",
      optional: true,
    },
    featureStandard: {
      propDefinition: [
        tisaneLabs,
        "featureStandard",
      ],
    },
    topicStandard: {
      propDefinition: [
        tisaneLabs,
        "topicStandard",
      ],
    },
    sentimentAnalysisType: {
      propDefinition: [
        tisaneLabs,
        "sentimentAnalysisType",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.tisaneLabs.analyzeText({
      data: {
        language: this.language,
        content: this.content,
        settings: {
          format: this.format,
          disable_spellcheck: this.disableSpellcheck,
          lowercase_spellcheck_only: this.lowercaseSpellcheckOnly,
          min_generic_frequency: this.minGenericFrequency,
          subscope: this.subscope,
          abusse: this.abuse,
          sentiment: this.sentiment,
          document_sentiment: this.documentSentiment,
          entities: this.entities,
          topics: this.topics,
          words: this.words,
          fetch_definitions: this.fetchDefinitions,
          parses: this.parses,
          deterministic: this.deterministic,
          snippets: this.snippets,
          explain: this.explain,
          feature_standard: this.featureStandard,
          topic_standard: this.topicStandard,
          sentiment_analysis_type: this.sentimentAnalysisType,
        },
      },
      $,
    });

    if (response) {
      $.export("$summary", "Successfully analyzed text.");
    }

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Tisane Labs	`tisaneLabs`	`app`	This component uses the Tisane Labs app.
Language	`language`	`string`	Select a value from the drop down menu.
Content	`content`	`string`	The content to analyze
Format	`format`	`string`	Select a value from the drop down menu:`{ "label": "Review", "value": "review" }{ "label": "Dialog", "value": "dialog" }{ "label": "Shortpost", "value": "shortpost" }{ "label": "Longform", "value": "longform" }{ "label": "Proofread", "value": "proofread" }{ "label": "Alias", "value": "alias" }{ "label": "Search", "value": "search" }`
Disable Spellcheck	`disableSpellcheck`	`boolean`	Determines whether the automatic spellchecking is to be disabled. Default: `false`
Lowercase Spellcheck Only	`lowercaseSpellcheckOnly`	`boolean`	Determines whether the automatic spellchecking is only to be applied to words in lowercase. Default: `false`
Minimum Generic Frequency	`minGenericFrequency`	`integer`	Allows excluding more esoteric terms; The valid values are 0 thru 10.
Subscope	`subscope`	`boolean`	Enables sub-scope parsing, for scenarios like hashtag, URL parsing, and obfuscated content (e.g. ihateyou). Default: `false`
Abuse	`abuse`	`boolean`	Output instances of abusive conten. Default: `true`
Sentiment	`sentiment`	`boolean`	Output sentiment-bearing snippets. Default: `true`
Document Sentiment	`documentSentiment`	`boolean`	output document-level sentiment. Default: `false`
Entities	`entities`	`boolean`	Output entities. Default: `true`
Topics	`topics`	`boolean`	Output topics. Default: `true`
Words	`words`	`boolean`	Output the lexical chunks / words for every sentence. Default: `false`
Fetch Definitions	`fetchDefinitions`	`boolean`	Include definitions of the words in the output. Only relevant when the `words` setting is `true`. Default: `false
Parse	`parses`	`boolean`	Output parse forests of phrases
Deterministic	`deterministic`	`boolean`	Whether the n-best senses and n-best parses are to be output in addition to the detected sense. If `true`, only the detected sense will be output. Default: `true`
Snippets	`snippets`	`boolean`	Include the text snippets in the abuse, sentiment, and entities sections. Default: `false`
Explain	`explain`	`boolean`	If `true`, a reasoning for the abuse and sentiment snippets is provided when possible
Feature Standard	`featureStandard`	`string`	Select a value from the drop down menu:`{ "label": "Universal Dependencies tags", "value": "ud" }{ "label": "Penn treebank tags", "value": "penn" }{ "label": "Tisane native feature codes", "value": "native" }{ "label": "Tisane native feature descriptions", "value": "description" }`
Topic Standard	`topicStandard`	`string`	Select a value from the drop down menu:`{ "label": "IPTC topic taxonomy code", "value": "iptc_code" }{ "label": "IPTC topic taxonomy description", "value": "iptc_description" }{ "label": "IAB topic taxonomy code", "value": "iab_code" }{ "label": "IAB topic taxonomy description", "value": "iab_description" }{ "label": "Tisane domain description, coming from the family description", "value": "native" }`
Sentiment Analysis Type	`sentimentAnalysisType`	`string`	Select a value from the drop down menu:`{ "label": "Products and Services", "value": "products_and_services" }{ "label": "Entity", "value": "entity" }{ "label": "Creative Content Review", "value": "creative_content_review" }{ "label": "Political Essay", "value": "political_essay" }`